Nazari Abouzar, Hosseinnia Maede, Heydari Hassan, Garmaroudi Gholamreza
Department of Health Education and Promotion, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
J Educ Health Promot. 2025 Feb 28;14:52. doi: 10.4103/jehp.jehp_1766_23. eCollection 2025.
This study aims to comprehensively investigate the association between Internet addiction (IA) and mental health, focusing on depression, anxiety, and stress in the Iranian general population. By employing a cross-sectional design, we surveyed 2012 individuals using a validated questionnaire. Our primary objectives were to assess the prevalence of IA, identify demographic factors influencing addiction scores, and explore the interplay between addiction, depression, anxiety, and stress. The findings contribute to the understanding of IA's impact on mental health in the Iranian context.
In 2023, 2012 Iranian individuals were surveyed using convenience sampling. Participants completed a questionnaire on demographics, internet addiction (Internet Addiction Test), and mental health (Depression, Anxiety, and Stress Scale). Statistical analysis with SPSS 27.0 included normal distribution assessment, descriptive statistics, and group comparisons using Chi-square, Mann-Whitney, and Kruskal-Wallis tests. Multiple linear regression explored the relationships between mental health, problematic social media use, and overall social media use. Generalized Linear Models assessed the nuanced association between mental health and internet addiction, addressing collinearity. This comprehensive approach unveils the complex relationships in demographic factors, internet addiction, and mental health outcomes.
The 2012 participants were predominantly men (60.3%), married (59.3%), and of age 26-35 (45.8%); the mean IA score was 45.67 (SD = 15.49). Notably, lower income (5-10 million tomans) correlated with reduced IA scores ( < 0.05). Multivariable models identified significant associations. Participants with Master's and Ph.D. degrees had higher IA scores (β* = 2.59, 95% confidence interval: 0.75-4.43, = 0.006). Increasing severity in depression and anxiety consistently correlated with higher addiction scores ( < 0.001), with substantial impact (β* = 12.02 and 10.66, respectively). Correlation analysis revealed strong positive relationships between depression, anxiety, and stress ( = 0.747, 0.775, and 0.786, respectively). Variations in depression by marital status, anxiety by BMI, and stress by both income and BMI were significant ( < 0.05).
The study highlights IA as a prevalent and significant issue in Iran, influenced by diverse psychological and demographic factors. The findings suggest that interventions targeting IA should take into account the roles of depression, anxiety, stress, education, income, marital status, and BMI. The study recommends further research to delve into the causal mechanisms and long-term consequences of IA in Iran.
本研究旨在全面调查网络成瘾（IA）与心理健康之间的关联，重点关注伊朗普通人群中的抑郁、焦虑和压力状况。通过采用横断面设计，我们使用经过验证的问卷对2012名个体进行了调查。我们的主要目标是评估IA的患病率，确定影响成瘾得分的人口统计学因素，并探索成瘾、抑郁、焦虑和压力之间的相互作用。这些发现有助于理解IA在伊朗背景下对心理健康的影响。
2023年，采用便利抽样法对2012名伊朗个体进行了调查。参与者完成了一份关于人口统计学、网络成瘾（网络成瘾测试）和心理健康（抑郁、焦虑和压力量表）的问卷。使用SPSS 27.0进行的统计分析包括正态分布评估、描述性统计以及使用卡方检验、曼-惠特尼检验和克鲁斯卡尔-沃利斯检验进行的组间比较。多元线性回归探索了心理健康、有问题的社交媒体使用和总体社交媒体使用之间的关系。广义线性模型评估了心理健康与网络成瘾之间的细微关联，同时解决了共线性问题。这种综合方法揭示了人口统计学因素、网络成瘾和心理健康结果之间的复杂关系。
2012名参与者中男性占主导（60.3%），已婚者占59.3%，年龄在26 - 35岁之间的占45.8%；IA平均得分为45.67（标准差 = 15.49）。值得注意的是，低收入（500 - 1000万托曼）与较低的IA得分相关（<0.05）。多变量模型确定了显著关联。拥有硕士和博士学位的参与者IA得分较高（β* = 2.59，95%置信区间：0.75 - 4.43，P = 0.006）。抑郁和焦虑严重程度的增加始终与较高的成瘾得分相关（<0.001），影响显著（β*分别为12.02和1.)。相关分析显示抑郁、焦虑和压力之间存在强正相关（分别为0.747、0.775和0.786）。婚姻状况导致的抑郁差异、BMI导致的焦虑差异以及收入和BMI导致的压力差异均具有统计学意义（<0.05）。
该研究强调IA在伊朗是一个普遍且重要的问题，受到多种心理和人口统计学因素的影响。研究结果表明，针对IA的干预措施应考虑抑郁、焦虑、压力、教育、收入、婚姻状况和BMI的作用。该研究建议进一步开展研究，深入探究伊朗IA的因果机制和长期后果。
